Triple
T28776252
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General Tilney |
E726540
|
entity |
| Predicate | treatsCharacterAs |
P44049
|
FINISHED |
| Object | social climber |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: social climber | Statement: [General Tilney, treatsCharacterAs, social climber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: treatsCharacterAs Context triple: [General Tilney, treatsCharacterAs, social climber]
-
A.
treatsCharacter
chosen
Indicates how one character behaves toward or interacts with another character, especially in terms of care, respect, or mistreatment.
-
B.
treatsCaseAs
Indicates that one entity handles, regards, or processes another entity specifically as a case or instance within a particular context or framework.
-
C.
usesCharactersAs
Indicates that one entity employs or incorporates specific characters (such as letters, symbols, or glyphs) from another entity for its representation or functioning.
-
D.
treatsSpaceAs
Indicates that one entity regards, handles, or interprets another entity in the same way it would handle or interpret space.
-
E.
transformsCharacterInto
Indicates that one entity causes or undergoes a change that turns a character into another form, state, or identity.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f03199997c8190b6ae43fb19312443 |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f674e06c9481909ed0ea736408f0d7 |
completed | May 2, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 28, 2026, 6:17 a.m.